Trust evaluation for indirectly connected nodes using link community information

Li, Ming and Bonti, Alessio 2011, Trust evaluation for indirectly connected nodes using link community information, in MOSN 2011 : Proceedings of the 2011 Workshop on Mobile and Online Social Networks, IEEE, Piscataway, N.J., pp. 19-26.

Attached Files
Name Description MIMEType Size Downloads

Title Trust evaluation for indirectly connected nodes using link community information
Author(s) Li, Ming
Bonti, Alessio
Conference name Mobile and Online Social Networks. Workshop (2011 : Milan, Italy)
Conference location Milan, Italy
Conference dates 8 Sep. 2011
Title of proceedings MOSN 2011 : Proceedings of the 2011 Workshop on Mobile and Online Social Networks
Editor(s) [Unknown]
Publication date 2011
Conference series Mobile and Online Social Networks Workshop
Start page 19
End page 26
Total pages 8
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) trust
transitivity
online social network
mobile social network
link community
trust community
Summary Inspired by recent empirical research on link communities, we borrow some important ideas and concepts for our own research to provide a more reasonable computation model of transitive trust. The key advantages of using link community methodology is to reflect on the nature of the social network features of Hierarchy and Overlap. Our research mainly resolves the computation of trust transitivity in which two nodes do not have any direct links to any link community. In this research, we discover a new direction analyzing trust transitivity. By using a social network game, we found that the link community methodology is a natural way to analyze trust in social networks. We also discovered, even in a small social network, trust has certain community features.
ISBN 978145770848011
Language eng
Field of Research 109999 Technology not elsewhere classified
Socio Economic Objective 970110 Expanding Knowledge in Technology
HERDC Research category E1.1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30051791

Document type: Conference Paper
Collection: School of Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Access Statistics: 18 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Thu, 04 Apr 2013, 13:01:26 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.